• DocumentCode
    1749572
  • Title

    Iterative source and channel decoding for GSM

  • Author

    Perkert, Ralf ; Kaindl, Markus ; Hindelang, Thomas

  • Author_Institution
    Inst. for Commun. Eng. (LNT), Munich Univ. of Technol. (TUM), Germany
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2649
  • Abstract
    When transmitting speech signals, there is residual redundancy in the signal after source coding, due to the limited complexity of the coding algorithms and delay constraints. This redundancy is expressed in correlations inside one frame as well as in a time correlation of subsequent speech frames. The method of iterative channel and source decoding applied in this paper is based on exploiting this redundancy in terms of a priori knowledge of the source to improve decoding of the transmitted parameters. The used source a priori information is obtained and exploited directly on a parameter level. We show the application of this theory to a real world mobile communication system. Here GSM speech transmission was chosen, but the presented method could also he applied to any other system which leaves a certain amount of redundancy in the speech coded signal
  • Keywords
    cellular radio; combined source-channel coding; iterative decoding; parameter estimation; redundancy; speech coding; GSM; delay constraints; iterative channel decoding; iterative source decoding; joint channel source decoding; mobile communication system; parameter estimation; residual redundancy; source coding; speech coded signal; Degradation; GSM; Iterative decoding; Mobile communication; Protection; Quantization; Redundancy; Source coding; Speech codecs; Speech coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940546
  • Filename
    940546